Regionalization of multiscale spatial processes based on a criterion for spatial aggregation error. The multiscale representation is a truncated Karhunen-Loaeve expansion using Obled-Creutin eigenfunctions. The method is incorporated within a Bayesian framework using an MCMC implementation of a latent spatial model. Bradley, J. R., Wikle, C. K., and Holan, S. H. (2017) <doi:10.1111/rssb.12179>.
Version: | 1.1 |
Depends: | R (≥ 2.10), ff |
Imports: | ClustGeo, MASS, fields, ggplot2, methods, pracma, raster, rgeos, sp, gridExtra, rlang, Matrix, sf, LaplacesDemon |
Published: | 2021-06-14 |
Author: | Jonathan R. Bradley [aut], Christopher K. Wikle [aut], Scott H. Holan [aut], Shannon T. Holloway [aut, cre] |
Maintainer: | Shannon T. Holloway <sthollow at ncsu.edu> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | rcage results |
Reference manual: | rcage.pdf |
Package source: | rcage_1.1.tar.gz |
Windows binaries: | r-devel: rcage_1.1.zip, r-release: rcage_1.1.zip, r-oldrel: rcage_1.1.zip |
macOS binaries: | r-release (arm64): rcage_1.1.tgz, r-release (x86_64): rcage_1.1.tgz, r-oldrel: rcage_1.1.tgz |
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